Singh, Avi

18 publications

ICLR 2025 Training Language Models to Self-Correct via Reinforcement Learning Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal Behbahani, Aleksandra Faust

TMLR 2024 Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models Avi Singh, John D Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T Parisi, Abhishek Kumar, Alexander A Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura A Culp, Lechao Xiao, Maxwell Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

ICLRW 2024 Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models Avi Singh, John D Co-Reyes, Rishabh Agarwal

NeurIPS 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

ICMLW 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Aleksandra Faust, Hugo Larochelle

ICMLW 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

CoRL 2022 Don’t Start from Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Rich Walke, Jonathan Heewon Yang, Albert Yu, Aviral Kumar, Jędrzej Orbik, Avi Singh, Sergey Levine

CoRL 2022 I-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops Saminda Wishwajith Abeyruwan, Laura Graesser, David B D’Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R Sanketi

NeurIPSW 2022 Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based RL David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley

ICLR 2021 Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine

NeurIPSW 2021 The Reflective Explorer: Online Meta-Exploration from Offline Data in Realistic Robotic Tasks Rafael Rafailov, Varun Kumar Vijay, Tianhe Yu, Avi Singh, Mariano Phielipp, Chelsea Finn

CoRL 2020 Chaining Behaviors from Data with Model-Free Reinforcement Learning Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine

ICLR 2020 The Ingredients of Real World Robotic Reinforcement Learning Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

ICLR 2018 Divide-and-Conquer Reinforcement Learning Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

CoRL 2018 Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn

NeurIPS 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine

ICCV 2017 GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly Labeled Images Avi Singh, Larry Yang, Sergey Levine

CVPR 2017 Visual Dialog Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, Jose M. F. Moura, Devi Parikh, Dhruv Batra